45 search results - page 2 / 9 » Finding (Recently) Frequent Items in Distributed Data Stream... |
VLDB
2010
ACM
13 years 3 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
PVLDB
2008
13 years 4 months ago
2008
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...